Deepfakes are videos or other content that have been altered using artificial intelligence, they’re a growing concern for both governments and individuals. People make Deepfakes online with deep fake apps and these synthetic media can be very convincing, they may even undermine our ability to trust our own eyes one day. So, what is Deepfake technology? And why do we consider it dangerous?
Deepfake by literal is a combination of two words: “deep” (comes from “deep learning”) and “fake”. Deep learning is an AI (Artificial Intelligence) technology that can learn from unstructured data, for instance, human faces and voices. That data will then be processed to create a Deepfake image using another machine learning system GAN (Generative Adversarial Network). Because such a process will keep testing the results it creates against the original set, the fake images will become more and more convincing.
Deepfake technology can make convincing videos or images of people, and can also recreate the audio of specific human voices in the same way through deep fake apps. In short terms, a Deepfake that is created with deep fake apps can trick you to believe things that aren't real. This makes Deepfake a serious threat.
While sometimes Deepfakes can be used for fun (for example people make Deepfakes online with deep fake apps to create memes), still the technology and those apps itself can be used by cybercriminals to do serious harm. Since anyone can make Deepfakes online with deep fake apps, it may create people who do not exist or, even worse, create images/videos of real people doing things they never did.
There are a few basic security procedures that are efficient at countering Deepfake:
However, if hackers start deploying Deepfake in an attempt to break into your networks, basic cybersecurity practices will be very useful in minimizing threats:
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